Unknown threat actors are leveraging the ScreenConnect remote access tool as a way to deploy and execute AsyncRAT. Kaspersky said the activity is part of a "massive, multi-domain, multi-language" ...

“It's just a really exciting time for generative AI in the department,” the Pentagon’s chief artificial intelligence officer said. The Department of Defense plans to bring new models onto its internal ...

Samsung Messages stops working for US users this July. Here's the fastest way to move your texts and message history to Google Messages before the cutoff. Omar Gallaga has covered technology, digital ...

Cybersecurity researchers have uncovered two hijacked npm packages and a cluster of Go packages that are designed to deploy a Python-based information stealer on compromised Windows, Linux, and macOS ...

This site displays a prototype of a “Web 2.0” version of the daily Federal Register. It is not an official legal edition of the Federal Register, and does not replace the official print version or the ...

Schools in the US are set to introduce a humanoid robot into classrooms as part of a pilot program aimed at enhancing student engagement and AI-assisted learning. Realbotix has launched its AI-powered ...

Valve Confirms Steam Machine Will Cost Over $1,000. Here's How to Buy One The 512GB version will cost $1,049, while the 2TB version is $1,349. You can sign up now to join a waiting list, with orders ...

If you buy something from a Verge link, Vox Media may earn a commission. See our ethics statement. is a senior editor and founding member of The Verge who covers gadgets, games, and toys. He spent 15 ...

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical Deployment Study ...

Abstract: This study developed an image-based classification model for detecting common corn leaf diseases: Common Rust, Gray Leaf Spot, and Blight, alongside healthy samples. A dataset of 4,188 ...

Abstract: Convolutional neural network (CNN)- and Transformer-based models have achieved remarkable success in hyperspectral image (HSI) classification tasks due to their outstanding ability to ...